Cargando…

Multiparametric MRI Characterization and Prediction in Autism Spectrum Disorder Using Graph Theory and Machine Learning

This study employed graph theory and machine learning analysis of multiparametric MRI data to improve characterization and prediction in autism spectrum disorders (ASD). Data from 127 children with ASD (13.5±6.0 years) and 153 age- and gender-matched typically developing children (14.5±5.7 years) we...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhou, Yongxia, Yu, Fang, Duong, Timothy
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2014
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055499/ https://www.ncbi.nlm.nih.gov/pubmed/24922325 http://dx.doi.org/10.1371/journal.pone.0090405

Ejemplares similares

Identifying and Predicting Autism Spectrum Disorder Based on Multi-Site Structural MRI With Machine Learning
por: Duan, YuMei, et al.
Publicado: (2022)

The Importance of Anti-correlations in Graph Theory Based Classification of Autism Spectrum Disorder
por: Kazeminejad, Amirali, et al.
Publicado: (2020)

Autism Spectrum Disorder Studies Using fMRI Data and Machine Learning: A Review
por: Liu, Meijie, et al.
Publicado: (2021)

Machine and Deep Learning Prediction Of Prostate Cancer Aggressiveness Using Multiparametric MRI
por: Bertelli, Elena, et al.
Publicado: (2022)

Prediction and Analysis of Autism Spectrum Disorder Using Machine Learning Techniques
por: Qureshi, Muhammad Shuaib, et al.
Publicado: (2023)

Detection of autism spectrum disorder using graph representation learning algorithms and deep neural network, based on fMRI signals
por: Yousefian, Ali, et al.
Publicado: (2023)

Identification of Autism Spectrum Disorder With Functional Graph Discriminative Network
por: Li, Jingcong, et al.
Publicado: (2021)

Atypical Resting State Functional Neural Network in Children With Autism Spectrum Disorder: Graph Theory Approach
por: Soma, Daiki, et al.
Publicado: (2021)

Application of machine learning algorithms for multiparametric MRI-based evaluation of murine colitis
por: Ellmann, Stephan, et al.
Publicado: (2018)

Identification of sarcomatoid differentiation in renal cell carcinoma by machine learning on multiparametric MRI
por: Mazin, Asim, et al.
Publicado: (2021)

Radiomics and machine learning of multisequence multiparametric prostate MRI: Towards improved non-invasive prostate cancer characterization
por: Toivonen, Jussi, et al.
Publicado: (2019)

Predicting MCI to AD Conversation Using Integrated sMRI and rs-fMRI: Machine Learning and Graph Theory Approach
por: Zhang, Tingting, et al.
Publicado: (2021)

Development of a Machine Learning Algorithm for the Surveillance of Autism Spectrum Disorder
por: Maenner, Matthew J., et al.
Publicado: (2016)

A comparison of machine learning algorithms for the surveillance of autism spectrum disorder
por: Lee, Scott H., et al.
Publicado: (2019)

Food for Thought: Machine Learning in Autism Spectrum Disorder Screening of Infants
por: Siddiqui, Sohaib, et al.
Publicado: (2021)

Reproducible neuroimaging features for diagnosis of autism spectrum disorder with machine learning
por: Mellema, Cooper J., et al.
Publicado: (2022)

Application of Machine Learning Techniques to Detect the Children with Autism Spectrum Disorder
por: Liao, Mengyi, et al.
Publicado: (2022)

Detection of Autism Spectrum Disorder in Children Using Machine Learning Techniques
por: Vakadkar, Kaushik, et al.
Publicado: (2021)

Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI
por: Chu, Ying, et al.
Publicado: (2022)

Machine learning with textural analysis of longitudinal multiparametric MRI and molecular subtypes accurately predicts pathologic complete response in patients with invasive breast cancer
por: Syed, Aaquib, et al.
Publicado: (2023)

Machine Learning Methods for Diagnosing Autism Spectrum Disorder and Attention- Deficit/Hyperactivity Disorder Using Functional and Structural MRI: A Survey
por: Eslami, Taban, et al.
Publicado: (2021)

Multiparametric MRI for Characterization of the Basal Ganglia and the Midbrain
por: Schneider, Till M., et al.
Publicado: (2021)

Interpretable Machine Learning Reveals Dissimilarities Between Subtypes of Autism Spectrum Disorder
por: Garbulowski, Mateusz, et al.
Publicado: (2021)

Machine Learning-Based Blood RNA Signature for Diagnosis of Autism Spectrum Disorder
por: Voinsky, Irena, et al.
Publicado: (2023)

Detection of autism spectrum disorder (ASD) in children and adults using machine learning
por: Farooq, Muhammad Shoaib, et al.
Publicado: (2023)

Diagnosis of autism spectrum disorder based on functional brain networks and machine learning
por: Alves, Caroline L., et al.
Publicado: (2023)

Graph Ricci curvatures reveal atypical functional connectivity in autism spectrum disorder
por: Elumalai, Pavithra, et al.
Publicado: (2022)

Predicting Autism Spectrum Disorder Using Blood-based Gene Expression Signatures and Machine Learning
por: Oh, Dong Hoon, et al.
Publicado: (2017)

Machine Learning Algorithms Applied to Predict Autism Spectrum Disorder Based on Gut Microbiome Composition
por: Olaguez-Gonzalez, Juan M., et al.
Publicado: (2023)

Yield of brain MRI in children with autism spectrum disorder
por: Byrne, D, et al.
Publicado: (2023)

Structural brain MRI studies in autism spectrum disorder
por: Petrović, J. M., et al.
Publicado: (2023)

Radiomics and Machine Learning with Multiparametric Breast MRI for Improved Diagnostic Accuracy in Breast Cancer Diagnosis
por: Daimiel Naranjo, Isaac, et al.
Publicado: (2021)

Reinforcement Learning in Autism Spectrum Disorder
por: Schuetze, Manuela, et al.
Publicado: (2017)

Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI
por: Gaw, Nathan, et al.
Publicado: (2019)

Multiparametric MRI and Machine Learning Based Radiomic Models for Preoperative Prediction of Multiple Biological Characteristics in Prostate Cancer
por: Fan, Xuhui, et al.
Publicado: (2022)

Prediction Model of Hemorrhage Transformation in Patient with Acute Ischemic Stroke Based on Multiparametric MRI Radiomics and Machine Learning
por: Meng, Yucong, et al.
Publicado: (2022)

Accounting for motion in resting-state fMRI: What part of the spectrum are we characterizing in autism spectrum disorder?
por: Nebel, Mary Beth, et al.
Publicado: (2022)

Measuring Theory of Mind in Adults with Autism Spectrum Disorder
por: Brewer, Neil, et al.
Publicado: (2017)

Machine learning for the detection of social anxiety disorder using effective connectivity and graph theory measures
por: Al-Ezzi, Abdulhakim, et al.
Publicado: (2023)

A Review of Machine Learning Methods of Feature Selection and Classification for Autism Spectrum Disorder
por: Rahman, Md. Mokhlesur, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_lbuau9f8s69298fh05vbmrffus